The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language Metadata

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Title

  • Main Title The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language

Creator

  • Author: Mihalcea, Rada, 1974-
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Strapparava, Carlo, 1962-
    Creator Type: Personal
    Creator Info: Fondazione Bruno Kessler (FBK)-IRST

Contributor

  • Organizer of meeting: Association for Computational Linguistics
    Contributor Type: Organization

Date

  • Creation: 2009

Language

  • English

Description

  • Content Description: This paper discusses explorations in the automatic recognition of deceptive language.
  • Physical Description: 4 p.

Subject

  • Keyword: automatic classifications
  • Keyword: feature analysis
  • Keyword: deceptive texts

Source

  • Conference: Forty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 2009, Singapore

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc31019

Degree

  • Academic Department: Computer Science and Engineering

Note

  • Display Note: Abstract: In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and the authors show that automatic classification is a viable technique to distinguish between truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are characteristic for deceptive text.